Future challenges: The ZSD problem warrants further investigation. (1) Unlink current work one can consider fine-tuning the bounding box of the both seen and unseen classes based on visual and semantic correspondences. (2) Rather mapping image feature to the semantic space, the reverse mapping may help ZSD similar to ZSR used in [1]}, [2]}. (3) One can consider the fusion of different word vectors (word2vec and GloVe) to improve ZSD. (4) Like generalized ZSL [3]}, [4]}, [5]}, one can extend it to a more realistic generalized ZSD. Moreover, weakly supervised or semi-supervised version of zero shot problems is also possible while performing ZSD/GZSD.
